app.py

import torch
import torchaudio
import streamlit as st
import requests  
import streamlit.components.v1 as components  
import asyncio  
import io
import os
from dotenv import load_dotenv

load_dotenv()

model_id = '11mlabs/indri-0.1-124m-tts'
task = 'indri-tts'

st.title("Indri")
st.subheader("Ultrafast multi-modal AI")

baseUrl = os.getenv("BASE_URL")

speakers = {
    "[spkr_63]" : "🇬🇧 👨 book reader",
    "[spkr_67]" : "🇺🇸 👨 influencer",
    "[spkr_68]" : "🇮🇳 👨 book reader",
    "[spkr_69]" : "🇮🇳 👨 book reader",
    "[spkr_70]" : "🇮🇳 👨 motivational speaker",
    "[spkr_62]" : "🇮🇳 👨 book reader heavy",
    "[spkr_53]" : "🇮🇳 👩 recipe reciter",
    "[spkr_60]" : "🇮🇳 👩 book reader",
    "[spkr_74]" : "🇺🇸 👨 book reader",
    "[spkr_75]" : "🇮🇳 👨 entrepreneur",
    "[spkr_76]" : "🇬🇧 👨 nature lover",
    "[spkr_77]" : "🇮🇳 👨 influencer",
    "[spkr_66]" : "🇮🇳 👨 politician"
}

with st.container():
    st.markdown("### Speaker Selection")
    speaker_id = st.selectbox("Select a speaker:", options=list(speakers.keys()), format_func=lambda x: speakers[x])

    st.markdown("### Text Input")
    text_input = st.text_area("Enter text for TTS (max 200 characters):", max_chars=200)

async def generate_audio():
    if text_input:
        speaker_name = speakers[speaker_id]
        
        response = requests.post(
            f"{baseUrl}/tts",  
            json={
                "text": text_input,
                "speaker": speaker_name
            },
            headers={
                "accept": "application/json",
                "Content-Type": "application/json"
            }
        )
        
        if response.ok:
            audio_blob = response.content
            
            audio_tensor, sample_rate = torchaudio.load(io.BytesIO(audio_blob))  
            
            torchaudio.save('output.wav', audio_tensor, sample_rate=sample_rate) 
            st.audio('output.wav')  
        else:
            st.warning(f"Received invalid response format. Status Code: {response.status_code}, Response: {response.text}")
    else:
        st.warning("Please enter text to generate audio.")

if st.button("Generate Audio", key="generate_audio"):
    asyncio.run(generate_audio())